Assessment of plant biomass and nitrogen nutrition with plant height in early-to mid-season corn.

BACKGROUND The physiological basis for using non-destructive high-resolution measurements of plant height through plant height sensing to guide variable-rate nitrogen (N) applications on corn (Zea mays L.) during early (six-leaf growth stage, V6) to mid (V12) season is largely unknown. This study was conducted to assess the relationships of plant biomass and leaf N with plant height in early- to mid-season corn under six different N rate treatments. RESULTS Corn plant biomass was significantly and positively related to plant height under an exponential model when both were measured at V6. This relationship explained 62-78% of the variations in corn biomass production. Leaf N concentration was, in general, significantly and positively related to plant height when both were measured at V6, V8, V10 and V12. This relationship became stronger as the growing season progressed from V6 to V12. The relationship of leaf N with plant height in early- to mid-season corn was affected by initial soil N fertility and abnormal weather conditions. CONCLUSION The relationship of leaf N concentration with plant height may provide a physiological basis for using plant height sensing to guide variable-rate N applications on corn.

[1]  A. Mehlich Mehlich 3 soil test extractant: A modification of Mehlich 2 extractant , 1984 .

[2]  W. Raun,et al.  In-Season Prediction of Corn Grain Yield Potential Using Normalized Difference Vegetation Index , 2006 .

[3]  John B. Solie,et al.  In‐Season Prediction of Potential Grain Yield in Winter Wheat Using Canopy Reflectance , 2001 .

[4]  William R. Raun,et al.  PAPER PRESENTED AT INTERNATIONAL WORKSHOP ON INCREASING WHEAT YIELD POTENTIAL, CIMMYT, OBREGON, MEXICO, 20–24 MARCH 2006 Reduced nitrogen and improved farm income for irrigated spring wheat in the Yaqui Valley, Mexico, using sensor based nitrogen management , 2007, The Journal of Agricultural Science.

[5]  D. Tyler,et al.  In-Season Prediction of Corn Yield Using Plant Height under Major Production Systems , 2011 .

[6]  Francis M. Epplin,et al.  Maximum benefit of a precise nitrogen application system for wheat , 2006, Precision Agriculture.

[7]  Kuo-Wei Chang,et al.  A Simple Spectral Index Using Reflectance of 735 nm to Assess Nitrogen Status of Rice Canopy , 2008 .

[8]  Eduardo Segarra,et al.  Spatial and Temporal Variability of Corn Growth and Grain Yield , 2002 .

[9]  P. Scharf,et al.  Corn yield response to nitrogen fertilizer timing and deficiency level , 2002 .

[10]  William R. Raun,et al.  Improving Nitrogen Use Efficiency for Cereal Production , 1999 .

[11]  N. Tremblay,et al.  Leaf Nitrogen Concentration as an Indicator of Corn Nitrogen Status , 2009 .

[12]  Harold M. van Es,et al.  Spatial Growth and Nitrogen Uptake Variability of Corn at Two Nitrogen Levels , 2003 .

[13]  William R. Raun,et al.  By‐Plant Prediction of Corn Forage Biomass and Nitrogen Uptake at Various Growth Stages Using Remote Sensing and Plant Height , 2007 .

[14]  W. Bennett,et al.  Nitrogen, Phosphorus, and Potassium Content of the Corn Leaf and Grain as Related to Nitrogen Fertilization and Yield1 , 1953 .

[15]  Tapan S. Parikh Engineering rural development , 2009, CACM.

[16]  E. V. Lukina,et al.  Improving Nitrogen Use Efficiency in Cereal Grain Production with Optical Sensing and Variable Rate Application , 2002 .

[17]  John B. Solie,et al.  Adjusting Midseason Nitrogen Rate Using a Sensor-Based Optimization Algorithm to Increase Use Efficiency in Corn , 2008 .

[18]  Randal K. Taylor,et al.  Corn Yield Response to Nitrogen at Multiple In-Field Locations , 2002 .

[19]  Jason Kruse,et al.  Remote Sensing of Nitrogen Stress in Creeping Bentgrass , 2006 .

[20]  M. Bauer,et al.  Effects of Nitrogen Nutrition on the Growth, Yield, and Reflectance Characteristics of Corn Canopies 1 , 1982 .